Think-A-Move SPEAR Speech Recognition
SPEAR Speech Recognition delivers robust voice command and transcription in high-noise environments for mobile and fixed devices.
À propos de Think-A-Move SPEAR Speech Recognition
SPEAR is a fully embedded speech recognition solution designed for Linux, Windows, and Android platforms. It excels in noisy conditions, offering both command recognition and free-form transcription. When paired with TAM’s in-ear voice capture earpiece, it achieves industry-leading accuracy.
Fonctionnalités clés
Noise-robust DNN-Based Acoustic Model
Advanced deep neural network model for accurate speech recognition in noisy environments.
Noise-robust DNN-Based VAD Model
Deep neural network voice activity detection optimized for high-noise scenarios.
Domain-specific Language Model
Customizable language models tailored to specific industry or application needs.
Works Offline
Fully functional without internet connectivity for secure and reliable operation.
Supports NBest results
Provides multiple transcription alternatives for improved accuracy and context.
Supports Command and Control Applications
Enables voice-driven control systems with finite state grammar support.
Supports Transcriptions
Delivers statistical speech-to-text transcription for various applications.
Speaker Independent
Recognizes speech from any user without prior training or enrollment.
Grammar switching at runtime
Dynamically adjusts grammar rules during operation for flexibility.
Dynamic grammar compilation
Compiles grammar rules on-the-fly for real-time adaptability.
Supports 16K Audio Sampling Rate
Compatible with 16KHz audio input for high-fidelity speech processing.
Down-sample to 8K or 16K
Adjusts audio sampling rate to 8K or 16K for optimized performance.
Low CPU consumption Wake-up Word
Efficient wake-word detection with minimal processing power usage.
Floating point version
Available in floating-point precision for enhanced accuracy in demanding scenarios.
Barge-in support
Allows users to interrupt ongoing speech input for seamless interaction.
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